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在大型LED光调度系统中,圆形LED阵列一般以光斑散色的大数据形式分布,其中异常散色数据的存储过程开销较大。为此,设计一种改进的LED光斑异常散色数据的云存储模型。首先分析了光斑异常散色数据存储构架,进行数据结构分析,以此为基础形成自适应波束,降低数据存储负荷,优化构建数据的云存储模型,由此实现降低存储冗余。最后通过仿真实验进行性能测试,展示了该方法的优越性能,得出有效性结论。
In the large-scale LED light dispatch system, the circular LED array is generally distributed in the form of big data of spot speckle, in which the storage process of abnormal color data is large. To this end, an improved cloud storage model of abnormal scattered data of LED light spot is designed. Firstly, the storage structure of abnormal spot data is analyzed and the data structure is analyzed. Based on this, an adaptive beam is formed to reduce the data storage load and optimize the cloud storage model for data construction, thereby reducing the storage redundancy. At last, the performance test is carried out through the simulation experiment, which shows the superior performance of the method and the conclusion of the validity.